The AI Operating Layer for Risk and Control Assurance
Regulatory and operational demands are accelerating, yet assurance cycles remain tethered to manual, periodic testing. The result is a widening gap between emerging risk and control visibility.
As controls, regulations, and business lines multiply, manual testing capacity stays flat, and coverage falls behind the risk it is meant to address.
Evidence is scattered across GRC platforms, audit repositories, and operational systems, creating silos that prevent a unified view of control health.
Different reviewers interpret controls differently, so the risk picture depends on who ran the test rather than the evidence itself.
The longer an assurance cycle takes to execute, the longer the blindspot persists. By accelerating testing, ANA reduces the time risk goes unmonitored.
Experienced professionals spend valuable time executing repetitive testing instead of interpreting and acting on risk.
Leadership currently waits until testing cycles close to receive insights. Our reporting moves from "post-mortem" summaries to integrated dashboards that allow you to pinpoint focus areas for the next cycle immediately.
As controls, regulations, and business lines multiply, manual testing capacity stays flat, and coverage falls behind the risk it is meant to address.
Evidence is scattered across GRC platforms, audit repositories, and operational systems, creating silos that prevent a unified view of control health.
Different reviewers interpret controls differently, so the risk picture depends on who ran the test rather than the evidence itself.
The longer an assurance cycle takes to execute, the longer the blindspot persists. By accelerating testing, ANA reduces the time risk goes unmonitored.
Experienced professionals spend valuable time executing repetitive testing instead of interpreting and acting on risk.
Leadership currently waits until testing cycles close to receive insights. Our reporting moves from "post-mortem" summaries to integrated dashboards that allow you to pinpoint focus areas for the next cycle immediately.
ANA closes the gap between how fast risk moves and how fast assurance can see it. It uses domain-trained AI to run the control testing and assurance work, including evidence review, Test of Design, Test of Effectiveness, control gap identification, and reporting. It is built for regulated enterprises, keeps a full audit trail, and maintains a human-in-the-loop governance model at every step, so leaders get a current, defensible view of their control and risk posture.
ANA closes the gap between how fast risk moves and how fast assurance can see it. It uses domain-trained AI to run the control testing and assurance work, including evidence review, Test of Design, Test of Effectiveness, control gap identification, and reporting. It is built for regulated enterprises, keeps a full audit trail, and maintains a human-in-the-loop governance model at every step, so leaders get a current, defensible view of their control and risk posture.
ANA runs the control testing and assurance work as one connected sequence. You can see every step, repeat every result, and trace every document.
ANA runs the control testing and assurance work as one connected sequence.
ANA pulls in the policies, procedures, and evidence it needs from your systems and organizes them in one place, inside your environment.
ANA checks whether each control is designed the right way to address the risk it is meant to cover.
ANA tests a sample of evidence to see whether the control actually works, and flags anything that needs a reviewer's judgment.
ANA points out where controls are missing or weak, and raises those gaps for a reviewer to confirm.
ANA produces a clear, audit-ready report for leadership, audit, compliance, and examiners, with the full evidence trail attached.
ANA supports your assurance team; it does not replace your governance. A human reviewer can see, check, and validate into every stage.
A human reviewer approves ANA's results, observations, and escalations before anything is final.
Every decision and override can be repeated and explained if an examiner asks.
You can follow any result back to the exact evidence behind it.
How ANA reaches a result is transparent and easy to explain, not a black box.
When evidence is unclear, ANA sends it to a human instead of guessing.
Built to stand up to internal audit, examiners, and governance review.
ANA makes control testing and assurance faster, more consistent, and less dependent on any one person.
Every use case is tied to real, everyday work. ANA is not a generic AI add-on. It runs specific assurance jobs end to end.
Streamline walkthroughs, testing, and evidence validation across financial controls.
Accelerate risk and control self-assessment cycles with AI-assisted testing workflows.
Test regulatory controls and policy adherence with consistent, documented, reviewable evidence.
Reduce manual audit coordination while improving testing consistency and documentation quality.
Assess controls across servicing, lending, treasury, payments, and operational workflows.
Surface control gaps and exception patterns before audit discovery.
Streamline walkthroughs, testing, and evidence validation across financial controls.
Accelerate risk and control self-assessment cycles with AI-assisted testing workflows.
Test regulatory controls and policy adherence with consistent, documented, reviewable evidence.
Reduce manual audit coordination while improving testing consistency and documentation quality.
Assess controls across servicing, lending, treasury, payments, and operational workflows.
Surface control gaps and exception patterns before audit discovery.
ANA runs inside your own environment, on-premises or in your private cloud. Your documents, evidence, and reports stay with you the whole time, under your own access rules and governance.
Deploy ANA on-premises or in your own private cloud tenant (AWS, Azure, or GCP). Your data never leaves your environment.
Data is encrypted at rest, with role-based access controls and full audit logging.
Every AI action and reviewer decision is logged and can be reproduced.
Supports first-line testing and second-line validation, producing rigorous artifacts that enable third-line (internal audit) transparency.
Direct answers to the questions that surface most often in conversations with CROs, internal audit, and compliance leaders.
No. Control assurance is inherently a periodic, cyclical task. ANA optimizes the testing cycle itself by removing the friction and manual overhead that typically force these cycles to drag on. While it does not perform real-time monitoring, it transforms your assurance from a slow, manual batch process into a high-cadence, streamlined workflow.
No. Control assurance is inherently a periodic, cyclical task. ANA optimizes the testing cycle itself by removing the friction and manual overhead that typically force these cycles to drag on. While it does not perform real-time monitoring, it transforms your assurance from a slow, manual batch process into a high-cadence, streamlined workflow.
Yes. ANA is built for it. Every decision can be repeated, every override is logged, and every result traces back to the evidence behind it. How ANA reaches a result is transparent and reviewable, not a black box.
It sends the unclear evidence to a human reviewer instead of guessing. Nothing is quietly resolved on its own. When a reviewer steps in, that decision is logged as part of the audit trail.
The first and second lines use ANA to run and independently check control testing against the same evidence. The third line, internal audit, gets a complete, repeatable set of records to review and to prepare for exams. The lines stay separate.
Today ANA operates alongside GRC platforms such as Archer, ServiceNow, and MetricStream as an execution layer. Native API integration with GRC systems is on our near-term roadmap.
No. ANA works alongside your GRC, audit, and risk platforms as the AI layer for control testing and assurance. Those platforms stay your system of record. ANA runs the testing, checks the evidence, and feeds the results back into them.
Go deeper on the thinking, the architecture, and the operating model behind ANA.
A complete overview of ANA's architecture, lifecycle stages, governance posture, and deployment model.
Download PDFA practitioner's view of how agentic AI changes the operating model for risk and control functions.
Read white paperHow a regional bank modernised its RCSA cycle and expanded control coverage with ANA.
Read case studyA perspective on the structural reasons assurance functions struggle to keep pace.
Read blogSee what ANA can do in your control environment. Built for regulated enterprises, and run entirely inside your own environment.
